公开(公告)号：US20140330119A1

公开(公告)日：2014-11-06

申请号：US14334176

申请日：2014-07-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： THOMAS BUELOW ,  RAFAEL WIEMKER ,  CRISTIAN LORENZ ,  STEFFEN RENISCH ,  THOMAS BLAFFERT

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  A61B6/032 ,  A61B6/481 ,  A61B6/5217 ,  G06T5/50 ,  G06T7/10 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/30061 ,  G06T2207/30064 ,  G06T2207/30101

Abstract: An imaging method for identifying abnormal tissue in the lung is provided, comprising the recording of slice images of the lung by means of X-ray radiation, recording of blood vessels, differentiation of blood vessels and abnormal tissue, segmentation of the abnormal tissue and display of the segmented abnormal tissue on an output device. In addition, a computer tomograph for identifying abnormal tissue in the lung is provided, having a radiation source for recording slice images of the lung and blood vessels by means of X-ray radiation, a computer unit for differentiating the blood vessels from the abnormal tissue and for segmenting the abnormal tissue, as well as an output device for displaying the segmented abnormal tissue. Furthermore, a computer program is provided for controlling a computer tomograph for an identification of abnormal tissue in the lung by means of a radiation source, designed to record slice images of the lung and blood vessels by means of X-ray radiation, to differentiate the blood vessels from abnormal tissue, to segment the abnormal tissue and to control an output device for displaying the abnormal tissue.

Abstract translation: 提供了一种用于鉴定肺中异常组织的成像方法，包括通过X射线照射记录肺的切片图像，记录血管，血管和异常组织的分化，异常组织的分割和显示 的输出装置上的分段异常组织。 另外，提供了一种用于识别肺中的异常组织的计算机断层摄影机，具有用于通过X射线辐射记录肺和血管的切片图像的辐射源，用于将血管与异常组织分离的计算机单元 并且用于分割异常组织，以及用于显示分段的异常组织的输出装置。 此外，提供了一种计算机程序，用于通过辐射源来控制用于识别肺中的异常组织的计算机断层摄影机，其被设计成通过X射线辐射记录肺和血管的切片图像，以区分 来自异常组织的血管，分割异常组织并控制用于显示异常组织的输出装置。

公开(公告)号：US20180078787A1

公开(公告)日：2018-03-22

申请号：US15565697

申请日：2016-04-12

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： NICOLE SCHADEWALDT ,  STEFFEN RENISCH ,  SVEN PREVRHAL ,  HEINRICH SCHULZ ,  THOMAS BLAFFERT

IPC: A61N5/10 ,  A61B5/055

CPC classification number: A61N5/1039 ,  A61B5/055 ,  A61N2005/1074

Abstract: The present disclosure relates to a method for controlling a magnetic resonance imaging guided radiation therapy apparatus comprising a magnetic resonance imaging system. The method comprises: acquiring magnetic resonance data using the magnetic resonance imaging system and the pulse sequence from an imaging volume; segmenting the magnetic resonance data into a plurality of segments indicating respective tissues in the imaging volume; creating a bulk electron density map of the imaging volume from the plurality of segments; displaying the bulk electron density map and radiation dose distributions for the plurality of segments on a graphical user interface, wherein the radiation dose distributions are determined using the bulk electron density map; receiving a modification signal for modifying at least a first segment of the segments; recreating the bulk electron density map using the modified first segment, and recalculating the radiation dose distribution using the bulk electron density map; redisplaying the bulk electron density map and the radiation dose distributions on the graphical user interface.

公开(公告)号：US20220019860A1

公开(公告)日：2022-01-20

申请号：US17294731

申请日：2019-11-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： JUERGEN WEESE ,  THOMAS BLAFFERT ,  TOM BROSCH ,  HANS BARSCHDORF

IPC: G06K9/62 ,  G06N20/00

Abstract: A system and computer-implemented method are provided for annotation of image data. A user is enabled to iteratively annotate the image data. An iteration of said iterative annotation comprises generating labels for a current image data part based on user-verified labels of a previous image data part, and enabling the user to verify and correct said generated labels to obtain user-verified labels for the current image data part. The labels for the current image data part are generated by combining respective outputs of a label propagation algorithm and a machine-learned classifier trained on user-verified labels and image data and applied to image data of the current image data part. The machine-learned classifier is retrained using the user-verified labels and the image data of the current image data part to obtain a retrained machine-learned classifier.

公开(公告)号：US20180071550A1

公开(公告)日：2018-03-15

申请号：US15559210

申请日：2016-03-18

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： STEFFEN RENISCH ,  NICOLE SCHADEWALDT ,  SVEN PREVRHAL ,  HEINRICH SCHULZ ,  THOMAS BLAFFERT

IPC: A61N5/10 ,  A61B5/055 ,  A61B5/00 ,  G01R33/48

CPC classification number: A61N5/1039 ,  A61B5/0033 ,  A61B5/0035 ,  A61B5/055 ,  A61B5/45 ,  A61B5/7278 ,  A61B5/748 ,  A61B2576/00 ,  A61N5/1031 ,  G01R33/4812 ,  G01R33/543 ,  G01R33/5608

Abstract: The present invention teaches a method and system for computing an alternative electron density map of an examination volume. The processing system is configured to compute a first electron density map using a plurality of imaging data, compute a second electron density map, wherein the second electron density map is a simplified version of the first electron density map, and compute the alternative electron density map, using the first electron density map and the second electron density map.